mcp-ethostron-live
OfficialServer Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {} |
| prompts | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| aiethos_geo_quickscanB | Performs a fast Generative Engine Optimization (GEO) audit on a domain or URL. Analyzes AI bot crawlability, Schema.org microdata health, direct-answer readability, and identifies top citation gaps for LLMs like Perplexity, ChatGPT, and Google AI Overviews. |
| aiethos_preview_ethostron_fixB | The 'Taste Test': Synthesizes a sample authoritative Direct-Answer Content Block using the EthosTron Live engine. Produces inverted-pyramid copy, recommended Schema.org markup, and third-party evidence structure engineered for AI engine citation. |
| aiethos_check_llm_citationsB | Checks whether a target brand or domain is actively cited across frontier LLMs (OpenAI, Gemini, Claude) for common industry queries, or whether competitors dominate citations. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| audit-website-geo | Runs a complete Generative Engine Optimization (GEO) audit on a website and recommends remediation steps. |
| remediate-citation-gap | Synthesizes an authoritative direct-answer block for a specific content or citation gap. |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 3 tools
Each tool maps to a distinct stage: technical GEO audit (quickscan), sample content synthesis (preview_ethostron_fix), and live citation tracking (check_llm_citations). The two diagnostic tools (quickscan vs. citation check) could be momentarily confused since both assess AI visibility, but the descriptions clearly separate on-site technical readiness from off-site citation presence.
All names share the aiethos_ prefix and snake_case, which is good, but the verb conventions are mixed: check_llm_citations is verb-first while geo_quickscan and preview_ethostron_fix are noun/adjective-first. Readable, but not a predictable pattern an agent can generalize from.
Three tools is thin for a GEO platform surface; the set reads as a minimal entry tier. Each tool does earn its place, but the server feels borderline under-scoped rather than well-rounded.
The lifecycle stops at diagnosis and a sample: quickscan audits, preview_ethostron_fix only produces a 'taste test' block, and nothing generates the full fix, applies schema markup, exports reports, or tracks changes over time. Agents hitting the preview tool have no path to the actual remediation output, a notable dead end.